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  "Date": "2026-06-15",
  "Title": "Multivariate Synthetic Control Method Using Time Series",
  "Authors@R": "c(person(\"Martin\",\"Becker\", role = c(\"aut\",\"cre\"),\nemail = \"martin.becker@mx.uni-saarland.de\",\ncomment=c(ORCID=\"0000-0003-2336-9751\")),\nperson(\"Stefan\",\"Klößner\", role = c(\"aut\"),\nemail = \"S.Kloessner@mx.uni-saarland.de\"),\nperson(\"Karline\",\"Soetaert\", role = c(\"com\"),\nemail = \"karline.soetaert@nioz.nl\"),\nperson(\"Jack\",\"Dongarra\",role=c(\"cph\"),\nemail = \"dongarra@icl.utk.edu\"),\nperson(\"R.J.\",\"Hanson\",role=c(\"cph\")),\nperson(\"K.H.\",\"Haskell\",role=c(\"cph\")),\nperson(\"Cleve\",\"Moler\",role=c(\"cph\")),\nperson(\"LAPACK authors\", role = \"cph\"))",
  "Description": "Three generalizations of the synthetic control method\n(which has already an implementation in package 'Synth') are\nimplemented: first, 'MSCMT' allows for using multiple outcome\nvariables, second, time series can be supplied as economic\npredictors, and third, a well-defined cross-validation approach\ncan be used. Much effort has been taken to make the\nimplementation as stable as possible (including edge cases)\nwithout losing computational efficiency. A detailed description\nof the main algorithms is given in Becker and Klößner (2018)\n<doi:10.1016/j.ecosta.2017.08.002>.",
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